Genetic Gain Increases by Applying the Usefulness Criterion with Improved Variance Prediction in Selection of Crosses.

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Genetic Gain Increases by Applying the Usefulness Criterion with Improved Variance Prediction in Selection of Crosses.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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Genetic Gain Increases by Appl ...... ction in Selection of Crosses.

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Genetic Gain Increases by Appl ...... ction in Selection of Crosses.

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Genetic Gain Increases by Appl ...... ction in Selection of Crosses.

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Genetic Gain Increases by Appl ...... ction in Selection of Crosses.

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Genetic Gain Increases by Appl ...... ction in Selection of Crosses.

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Genetic Gain Increases by Appl ...... ction in Selection of Crosses.

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P1476

Genetic Gain Increases by Appl ...... ction in Selection of Crosses.

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P2093

Chris-Carolin Schön

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Simon Teyssèdre

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P2860

Assessment of Genetic Heterogeneity in Structured Plant Populations Using Multivariate Whole-Genome Regression Models.

Prediction of total genetic value using genome-wide dense marker maps

Intraspecific variation of recombination rate in maize.

Prediction of expected genetic variation within groups of offspring for innovative mating schemes.

Usefulness of multiparental populations of maize (Zea mays L.) for genome-based prediction.

Genome-wide regression and prediction with the BGLR statistical package.

Linkage disequilibrium with linkage analysis of multiline crosses reveals different multiallelic QTL for hybrid performance in the flint and dent heterotic groups of maize

The relationship between parental genetic or phenotypic divergence and progeny variation in the maize nested association mapping population.

Using quantitative trait loci results to discriminate among crosses on the basis of their progeny mean and variance.

Multiple-trait genomic selection methods increase genetic value prediction accuracy

P304

1651-1661

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scholarly article

P356

10.1534/GENETICS.117.300403

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English

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P478

207

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P50

Christina Lehermeier

P577

2017-10-16T00:00:00Z

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P698

29038144

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P932

5714471

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